The end of San Diego’s program marks a major victory in the nationwide battle against face surveillance. But it doesn’t stop here. Join our campaign to end face surveillance on the local level across the country.
The probe reflects growing unease about facial recognition surveillance in the United States and elsewhere that civil liberties groups say could lead to unfair arrests and limit freedom of expression.
The Indian government has asked third party contractors to help it build a massive surveillance network utilizing thousands of cameras and the current cream of the facial recognition crop at the time of deployment. The whole thing needs to be in place less than 8 months after the contract is secured, suggesting the government is more than happy to move forward with whatever it has on hand rather than whatever might actually do the job well.
It’s also climbing the global censorship charts, trailing only Russia, China, and Turkey in various social media platform demographics. But it is the king of Facebook censorship, delivering more takedown demands to Facebook than closest rival, Russia. When you’re out-censoring Russia, you’re playing the censorship game right.
It’s the first time federal legislation has addressed limits on technology and tenants.
Thousands of facial-recognition requests, internal documents and emails over the past five years, obtained through public-records requests by researchers with Georgetown Law’s Center on Privacy and Technology and provided to The Washington Post, reveal that federal investigators have turned state departments of motor vehicles databases into the bedrock of an unprecedented surveillance infrastructure.
Police have long had access to fingerprints, DNA and other “biometric data” taken from criminal suspects. But the DMV records contain the photos of a vast majority of a state’s residents, most of whom have never been charged with a crime.
Automated facial recognition is a grave threat to privacy and the presumption of innocence.
A tech privacy report, that has been swept under the rug by the mainstream media has declared that Americans are about to live through the very world Orwell wrote of. Georgetown researchers are warning Americans about a sophisticated real-time face surveillance system that’s about to become an “imminent reality” for millions of citizens across the country. Ground zero, though, appears to be Detroit.
The “America Under Watch” report is a warning that authorities in select U.S. cities may soon be able to pick you out from a crowd, identify you, and trace your movements via a secret network of cameras constantly capturing images of your face. Mass surveillance of every single human being living in the U.S. has become a nightmarish dystopian reality.
Officers set up the camera on a van in Romford, East London, which then cross-checked photos of faces of passers-by against a database of wanted criminals.
But one man was unimpressed about being filmed and covered his face with his hat and jacket, before being stopped by officers who took his picture anyway.
After being pulled aside, the man told police: ‚If I want to cover me face, I’ll cover me face. Don’t push me over when I’m walking down the street.‘
(25.2.2019) Google and the Fast Identity Online Alliance said Monday that Android is now FIDO2-certified, meaning its devices can use fingerprints and security keys for logging in to accounts instead of passwords. The certification was unveiled at Mobile World Congress in Barcelona, Spain.
FIDO supports a full range of authentication technologies, including biometrics such as fingerprint and iris scanners, voice and facial recognition, as well as existing solutions and communications standards, such as Trusted Platform Modules (TPM), USB security tokens, embedded Secure Elements (eSE), smart cards, and near field communication (NFC). The USB security token device may be used to authenticate using a simple password (e.g. four-digit PIN) or by pressing a button.
(21.11.2018) Microsoft’s corporate veep of all things identity, Alex Simons, trumpeted that the 800 million people who use a Microsoft account will now be able to sign in without username or password.
(28.2.2019) The FIDO2 standard comprises the World Wide Web Consortium’s (W3C) Web Authentication specification and the corresponding Client to Authenticator Protocol (CTAP) from FIDO Alliance. Together these initiatives create an ecosystem of compliant devices that can easily authenticate themselves to online services.
(23.2.2019) When George Orwell’s “1984” was published seven decades ago, it seemed a dire warning of a future dystopia ruled by thought police and authoritarian control. Today, such a world is becoming a reality in Xinjiang. We agree with human rights groups who have urged the United Nations Human Rights Council, when it meets starting Monday, to launch an international fact-finding mission to Xinjiang to expose this unsettling experiment in state control of human behavior.
The police should drop this Orwellian technology.
The technology developed at Ping An can pinpoint 54 brief, involuntary micro-expressions that a face often creates before the brain can control the movements of the face. They include eyeballs that move back and forth and rapid blinking. “We use micro expression recognition technology to review loan applications.
(24.Juli) The idea behind the Lockport system is to enable security officers to quickly respond to the appearance of expelled students, disgruntled employees, sex offenders or certain weapons the system is programmed to detect. Only students seen as threats will be loaded into the database.
New York Governor Andrew Cuomo revealed on Friday that facial recognition cameras installed at bridge and tunnel toll plazas across New York City are scanning every driver’s face and feeding them into a massive database designed to catch suspected criminals.
Imagine finding a young missing child by recognizing her as she is being walked down the street. Imagine helping the police to identify a terrorist bent on destruction as he walks into the arena where you’re attending a sporting event. Imagine a smartphone camera and app that tells a person who is blind the name of the individual who has just walked into a room to join a meeting.
Anyone going through the southwestern gate of prestigious Peking University can now have their face scanned by a camera instead of showing their ID card to security guards under a trial run of the system that started on Wednesday.
Many of the top universities in China restrict – and even ban – members of the public from visiting their campuses, and students and staff are often required to produce proof of identity before they can enter.
Street crime prediction “has already achieved results in Europe and the United States,” said Mami Kajita, who established the data-analysis company Singular Perturbations Inc. last year in hopes of developing a Japanese version of the methods used in the United States.
Facial recognition has long been feared as a feature of a future authoritarian society, with its potential to turn CCTV cameras into identity checkpoints, creating a world where citizens are intensively watched and tracked. However, facial recognition is now a reality in the UK – despite the lack of any legal basis or parliamentary scrutiny, and despite the significant
concerns raised by rights and race equality groups.
Facial recognition technology stars in three recent Hollywood movies: Isle of Dogs, Ready Player One, and Black Panther. In Wes Anderson’s stop-motion near-future Japan, a corrupt mayor uses the technology to capture the Little Pilot who only wants to save his dog. In Steven Spielberg’s dystopic America, a megalomaniacal billionaire uses drones equipped with face scanners to find one of the movie’s heroes as she drives her van through an impoverished futuristic cityscape. And in Ryan Coogler’s Wakanda, the royal technologist’s team uses her facial recognition tool to identify intruders in the kingdom.
(7.May) New data about the South Wales Police’s use of the technology obtained by Wired UK and The Guardian through a public records request shows that of the 2,470 alerts from the facial recognition system, 2,297 were false positives. In other words, nine out of 10 times, the system erroneously flagged someone as being suspicious or worthy of arrest.
The suspect, identified only as Mr Ao, was one of 60,000 attendees at a show for pop star Jacky Cheung in Nanchang city.
Thanks to the recognition tech, he was identified by cameras at the concert’s ticket entrance, and later arrested by police after he had sat down with other concert goers.(…)
Police officer Li Jin told state news agency Xinhua that “the suspect looked completely caught by surprise when we took him away.